{"id":"W4404129617","doi":"10.1101/2024.11.06.24316856","title":"Estimating the effective reproduction number from wastewater (R <sub>t</sub> ): A methods comparison","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Public Health Agency; Public Health Agency of Canada; Syracuse University; National Science Foundation","keywords":"Reproduction; Wastewater; Environmental science; Statistics; Mathematics; Biology; Environmental engineering; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01672089,0.001578384,0.001775416,0.003888385,0.000400167,0.001634841,0.002205944,0.001663112,0.002659998],"category_scores_gemma":[0.07895411,0.0006568143,0.002750621,0.002317708,0.000536236,0.001695491,0.001141052,0.001419128,0.0005162337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783095,"about_ca_system_score_gemma":0.001763294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039767,"about_ca_topic_score_gemma":0.007685534,"domain_scores_codex":[0.9876271,0.009088312,0.0007844176,0.001126339,0.001246253,0.0001276224],"domain_scores_gemma":[0.8945681,0.09685858,0.002396431,0.002556862,0.003386921,0.0002330712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001431405,0.00039415,0.09161367,0.004809613,0.006199148,0.0002576097,0.000411778,0.2790155,0.002106288,0.01315272,0.004246548,0.5963616],"study_design_scores_gemma":[0.0003828259,0.0007013901,0.03430412,0.001016885,0.001176062,0.0004318387,0.0003437559,0.922945,0.002893865,0.02690658,0.008649061,0.0002485953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07604823,0.0223444,0.8917086,0.001200816,0.0002664186,0.0008472348,0.002247517,0.001234053,0.004102829],"genre_scores_gemma":[0.4000662,0.01243931,0.5793678,0.0005568149,0.0002613506,0.002353304,0.002192157,0.0005795812,0.002183536],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01672089,"threshold_uncertainty_score":0.08842957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898327746618134,"score_gpt":0.3052908363647204,"score_spread":0.286307558898539,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}